Module 5: Application backends and model services

Module 5: Application backends and model services#

AINS6007 — Applied AI Programming with Python

Essential Question#

How does model logic become a service?

Scenario#

an engineering team converting prototype AI code into a maintainable application component

Stakeholders: software engineer, ML engineer, QA lead, product owner, and operations reviewer

Core Moves#

Define the decision boundary
Compare baseline and alternative
Interpret evidence and assumptions
Identify failure modes
Recommend next action

Lab & Assignment#

Build a minimal API around an AI workflow.

Artifact: tested Python AI component with interface contract, CI evidence, and deployment notes focused on application backends and model services: Build a minimal API around an AI workflow.